Companies that use Mac OS X in MEP
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50
companies
List of companies using Mac OS X in MEP
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"mac-os-x\"
],
\"company_country_code_or\": [
\"MEP\"
]
}"Technology
is any of
Mac OS X
Country
is any of
MEP
Employees3.8kRevenue$263MSoftware DevelopmentMac OS XHigh confidence
Employees644E-Learning ProvidersMac OS XHigh confidence- Employees201Financial ServicesMac OS XMedium confidence
Employees628IT Services and IT ConsultingMac OS XMedium confidence
Employees144IT Services and IT ConsultingMac OS XMedium confidence
Employees59Real EstateMac OS XMedium confidence
Employees10IT Services and IT ConsultingMac OS XMedium confidence- Employees12Business Consulting and ServicesMac OS XMedium confidence
Employees270Transportation, Logistics, Supply Chain and StorageMac OS XMedium confidence
Employees138Real EstateMac OS XMedium confidence
Download list of 50 companies using Mac OS X in MEP. This curated list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
How to target Mac OS X users
- How to customize this list?
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
- How to be alerted when companies adopt this technology?
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.